Industrial Mathematics
Sunadi Sunadi; Humiras Hardi Purba; Dana Santoso Saroso
Abstract
The purposes of this study are, first, analyzing why the Capability Process (Cpk) index of Drop Impact Resistance (DIR) does not meet the customer requirement or below 1.33, second, finding out what improvements should be made to make it meet the specifications. Statistical Process Control (SPC) is a ...
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The purposes of this study are, first, analyzing why the Capability Process (Cpk) index of Drop Impact Resistance (DIR) does not meet the customer requirement or below 1.33, second, finding out what improvements should be made to make it meet the specifications. Statistical Process Control (SPC) is a method used in this research with supporting other tools such as Cause and Effect Diagrams (CED), Nominal Group Techniques (NGT) and why, what, where, when, and how (5W1H) method. After improvement was made, the results of the study were satisfactory, the average of DIR test was increased by 26.21% i.e. from 20.41 cm to 25.76 cm, standard deviations reduced from 1.80 to 1.48, and the potential Cpk increased significantly from 0.48 to 1.79. The SPC supported by other statistical tools was effective and efficient to improve quality, so the process statistically can be categorized as in control. At the end of this research, the further discussion is still needed to maintain what has been achieved and also to make the research even better. It is recommended for further researchers to examine the chemical composition of aluminum M1 alloy 3104 influence on the strength of the drop impact resistance and to analyze data. It is recommended to integrate or combine SPC with Six Sigma or Engineering Process Control (EPC).
Quality Control
Surya Perdana; Dana Santoso Saroso
Abstract
The industry under study is a company in the field of making Speaker, Megaphone and Amplifier. In this study, the Thoshiba IS 350 GS 350 Ton machine has observed. Constraints such as when producing machine Speaker Parts produce high reject products up to 7% of the total monthly production. When operating ...
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The industry under study is a company in the field of making Speaker, Megaphone and Amplifier. In this study, the Thoshiba IS 350 GS 350 Ton machine has observed. Constraints such as when producing machine Speaker Parts produce high reject products up to 7% of the total monthly production. When operating the machine often experiences downtime due to damage to the engine. Damage causes high employee overtime due to having to pursue production targets and the costs to be incurred by the company can reach Rp. 3 billion per month. Evaluation is done by calculating Overall Equipment Effectiveness (OEE) and comparing with OEE before repairs. Furthermore, discussed the factors that influence the effectiveness of the Injection molding machine contained in the six big losses and other problems where the method of analysis with fishbone diagrams. After that, the discussion was conducted using the analysis of Failure Mode and Effect Analysis (FMEA) to identify and analyze potential failures and their consequences. From the results of the observation, the main cause of damage to the Thoshiba IS 350 GS 350 Ton machine is the low Performance Rate with an average value of 63.5% in April 2018, this is caused by the value of Reduced Speed Losses that have the biggest contribution in six big losses with a loss of 86.9 hours which results in the Thoshiba IS 350 GS 350 Ton Machine not working optimally.
Innovation, knowledge management, and organizational learning
Tulus Puji Ruswanto; Dana Santoso Saroso
Abstract
In August 2016, IATF issued the new requirement of quality management system IATF 16949. With these new requirements, the automotive industry that is willing to migrate to the new version will face some challenges. The main challenge comes from the need to re-map the business processes that are needed ...
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In August 2016, IATF issued the new requirement of quality management system IATF 16949. With these new requirements, the automotive industry that is willing to migrate to the new version will face some challenges. The main challenge comes from the need to re-map the business processes that are needed for the internal audit. The other challenges are the readiness of the quality of the internal auditors, measure gaps, and predict the success of the certification audits. This research is based on a case study at one of the automotive manufacturing company. A framework for measuring the gap analysis of the compliance based on the automotive standards requirements (IATF 16949: 2016) through an internal quality audit score has presented in this research. The analysis has done by using a turtle diagram for risk analysis and follows by a survey on an internal quality auditor’s perception. Based on the analysis, it can be determined which processes need to be audited. The research has found that there are 32 processes in the company which is needed to be an audit. The survey has indicated that internal quality auditor is ready with the new requirement of the quality management system. The internal audit’s result with a weighted score shows the level that can be achieved by the company to fulfill the standard IATF 16949:2016. The gap that has shown in the spider chart depicts that an automotive manufacturing company will be able to passe the certification audit.
